Results 241 to 250 of about 20,865 (294)

Meta-heuristic optimization reloaded

2011 Third World Congress on Nature and Biologically Inspired Computing, 2011
We consider the meta-heuristic approach to optimization as to be performed in four stages (model, optimality, algorithm, verification), and point out the potential of varying the optimality stage, in contrary to the design of new algorithms. Thus, we can also apply the meta-heuristic approach to optimization to the task of fair distribution of ...
Mario Köppen, Kaori Yoshida, Kei Ohnishi   +2 more
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Meta-heuristic approach to proportional fairness

Evolutionary Intelligence, 2012
Proportional fairness is a concept from resource sharing tasks among n users, where each user receives at least 1/n of her or his total value of the infinitely divisible resource. Here we provide an approach to proportional fairness that allows its extension to discrete domains, as well as for the direct application of evolutionary computation to ...
Mario Köppen, Kaori Yoshida, Kei Ohnishi, Masato Tsuru 0001   +3 more
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Meta heuristics for prime factorization problem

2013 World Congress on Nature and Biologically Inspired Computing, 2013
Generally, cryptographic algorithms are based on NP-Complete problems like prime factorization, discrete logarithm etc. The difficulties of RSA and Rabin cryptographic algorithms are based on prime factorization problem. Prime factorization problem may be modeled as a Non-uniform discrete optimization problem.
Pranav Dass, Harish Sharma, Jagdish Chand Bansal, Kendall E. Nygard   +3 more
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A Meta-heuristic for Subset Problems

2001
In constraint solvers, variable and value ordering heuristics are used to finetune the performance of the underlying search and propagation algorithms. However, few guidelines have been proposed for when to choose what heuristic among the wealth of existing ones.
Pierre Flener, Brahim Hnich, Zeynep Kiziltan   +2 more
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Meta-heuristic bus transportation algorithm

Iran Journal of Computer Science, 2018
Over recent decades, several experience-based mathematical models have been proposed. In addition to collective intelligence, in recent years some efforts have been made to apply human experience-based intelligence to open up a new world of possibilities to design new meta-heuristic algorithms for solving NP problems.
Mohammad Bodaghi, Koosha Samieefar
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Dynamic Problems and Nature Inspired Meta-Heuristics

2006 Second IEEE International Conference on e-Science and Grid Computing (e-Science'06), 2006
Biological systems are, by their very nature, adaptive. However, the meta-heuristic search algorithms inspired by them have mainly been applied to static problems (i.e., problems that do not change while they are being solved). Recently, a greater body of work has been completed on the newer meta-heuristics, particularly ant colony optimisation ...
Tim Hendtlass, Irene Moser, Marcus Randall   +2 more
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A meta heuristic for graph drawing

Proceedings of the working conference on Advanced visual interfaces, 2000
The problem of finding a pleasant layout for a given graph is a key challenge in the field of information visualization. For graphs that are biased towards a particular property such as tree-like, star-like, or bipartite, a layout algorithm can produce excellent layouts—if this property is actually detected.Typically, a graph may not be of such a ...
Oliver Niggemann, Benno Stein
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An electromagnetic meta-heuristic for the nurse scheduling problem [PDF]

Journal of Heuristics, 2007
In this paper, we present a novel meta-heuristic technique for the nurse scheduling problem (NSP). This well-known scheduling problem assigns nurses to shifts per day maximizing the overall quality of the roster while taking various constraints into account. The problem is known to be NP-hard.
Broos Maenhout, Mario Vanhoucke
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Meta-heuristics: The State of the Art

2001
Meta-heuristics support managers in decision-making with robust tools that provide high-quality solutions to important applications in business, engineering, economics and science in reasonable time horizons. In this paper we give some insight into the state of the art of meta-heuristics. This primarily focuses on the significant progress which general
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Meta heuristic approaches for sentiment analysis

Expert Systems
Abstract On the Internet, online microblogging and social networks have experienced tremendous growth. Millions of individuals share opinions on social networking platforms including Twitter, Facebook, YouTube, and Microblogging sites. Millions of individuals express their thoughts on social platforms namely Twitter, Facebook, YouTube,
Meesala Shobha Rani, Sumathy Subramanian
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